Mayo Clinic Platform Launches AI-Powered Clinical Decision Support Across 35+ Specialties

The platform is available to Mayo Clinic clinicians and external healthcare organizations participating in Mayo Clinic Platform's healthcare provider programs.

Mayo Clinic Platform has commercially launched an AI-enabled clinical decision support (CDS) solution that integrates subspecialty medical expertise, clinical literature, and diagnostic tools directly into electronic health record (EHR) workflows. The solution covers more than 35 medical specialties and includes 22 clinical risk and diagnostic calculators accessible through text-based chat and voice interactions.

The platform is available to Mayo Clinic clinicians and external healthcare organizations participating in Mayo Clinic Platform's healthcare provider programs. It is designed to help physicians access clinical information without switching between multiple medical reference websites, standalone portals, and other applications.

The solution features a subspecialty-specific clinical chat tool powered by a large language model (LLM). Clinicians can use natural language queries to assess complex patient presentations and receive responses supported by relevant peer-reviewed biomedical literature citations.

Unlike AI models that rely on fixed training datasets, the clinical chat tool incorporates new medical knowledge through daily updates. These updates include emerging clinical trial findings, revised clinical guidelines, and newly issued drug safety warnings, allowing clinicians to access more current medical information within their existing workflows.

Clinical Calculators and Subspecialty Expertise

The CDS solution includes 22 clinical risk assessment and diagnostic calculators that clinicians can access through text chat or conversational voice dictation. The library combines established clinical risk stratification algorithms with proprietary risk-scoring tools developed and validated by Mayo Clinic investigators.

The specialty-specific architecture is designed to reflect Mayo Clinic's subspecialty practice model, enabling clinicians to access relevant expertise across more than 35 specialties through a single interface.

By embedding these capabilities within the primary EHR interface, the platform aims to address information fragmentation and cognitive overload associated with navigating multiple clinical information sources.

Designed to Support, Not Replace, Clinical Judgment

Mayo Clinic has positioned the solution as a clinical support tool rather than an autonomous prescribing system. Physicians retain responsibility for patient care decisions, while the technology provides access to relevant medical knowledge and decision-support resources.

Gelareh Zadeh, M.D., Ph.D., Chair of Neurosurgery at Mayo Clinic in Rochester and Distinguished Chief Medical Officer for Mayo Clinic Platform, said the solution is intended to assist healthcare professionals in making patient care decisions without replacing clinical judgment.

Zadeh added that Mayo Clinic physicians provided feedback on the tools to ensure they support clinicians and reflect the organization's approach to patient care.

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